Once again, let us use the turn of the year for a short recapitulation of posts on our blog. Apart from other things we do (which we will summarize in our next blog post in a few days), we have published around over 50 short blog posts / recherches of academic papers on this blog during the last year. We want to use this opportunity to summarize 10 of them, which were the most popular (based on Google Analytics tool). Maybe you will be able to find something you have not read yet …

Short-term mean reversion trading on equity indexes is a popular trading style. Often, price-based technical indicators like RSI, CCI are used to assess if the stock market is in overbought or oversold conditions. A new research article written by Chainika Thakar and Rekhit Pachanekar explores a different indicator – TRIN, which compares the number of advancing and declining stocks to the advancing and declining volume. TRIN’s advantage is that it’s cross-sectionally based and its calculation uses not only price but also volume information. Thakar& Pachanekar’s research paper is useful for fans of indicator’s based trading strategies and offers a short introduction to TRIN’s calculation together with an example of mean-reversion market timing strategy written in a python code.

Authors: Chainika Thakar, Rekhit Pachanekar

Title: Trading Index (TRIN) – Formula, Calculation & Strategy in Python

Thirteen new Quantpedia Premium strategies have been added into our database, and eleven new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 11 new backtests written in QuantConnect code. Our database currently contains over 370 strategies with out-of-sample backtests/codes.

Also, four new blog posts, that you may find interesting, have been published on our Quantpedia blog.

Plus we continue to re-run some of our codes on a monthly basis systematically, over 160 codes are at the moment part of this activity.

We have listened to our audience and have prepared a new filtering field which you can use to screen strategies by regional focus.

Plus we continue to re-run some of our codes on a monthly basis systematically, 100 codes are at the moment part of this activity.

Thirteen new Quantpedia Premium strategies have been added into our database, and eleven new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 12 new backtests written in QuantConnect code. Our database currently contains nearly 370 strategies with out-of-sample backtests/codes.

Also, five new blog posts, that you may find interesting, have been published on our Quantpedia blog.

We have a new video featuring three examples of how to built new strategies on top of ideas from Quantpedia’s database. We hope you will like it …

We have prepared several new announcements, but first, let us recapitulate last month of Quantpedia’s research. Nine new Quantpedia Premium strategies have been added into our database, and eleven new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 12 new backtests written in QuantConnect code. Our database currently contains over 350 strategies with out-of-sample backtests/codes.

Also, five new blog posts, that you may find interesting, have been published on our Quantpedia blog: